Computational Text Analysis in R

This course introduces students to modern quantitative text analysis techniques, with the ultimate goal of providing the skills necessary to apply the methods in their own research. We will use the open source programming language R. Demonstration corpora are provided.

Topics Covered

• Acquiring and Preprocessing Texts
• Discriminating Words
• Dictionary Methods and Sentiment Analysis
• The Vector Space Model and the Geometry of Text (Multi-dimensional Scaling, Most Similar Texts, Clustering)
• Topic Models

See the entire syllabus here.

Requirements 

This workshop will be using the R programming language. See the software requirements here.

We will assume a basic knowledge of R. Students are strongly encouraged to complete this brief tutorial to learn the basic syntax of the R programming language prior to attending this workshop.